Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ...
Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ... Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ...
the rupture, although this region is mostly to the hanging wall side of a projection of the rupture to the surface (i.e. on the hanging wall of the fault, but the foot wall side of the rupture). It seams reasonable that there should be some increased motion in this area for a buried fault. 1-Rjb/Rcld 1.2 1 0.8 0.6 0.4 0.2 0 -40 -20 0 20 40 60 80 100 120 x (line 1) or y (lines 2 and 3) Line 1 (y=0) Line 2 (x=3) Line 3 (x=10) Figure 17: Variation of the term [ 1− RJB / RRUP ] with location for the three lines shown on Figure 15. Top of rupture is at a depth of 5 km at x=0. The effectiveness of the term [ 1− RJB / RRUP ] to capture the hanging wall effect was tested by fitting the selected PEER-NGA data for peak acceleration with a regression model without a hanging wall term. The residuals were found to be correlated with [ 1− RJB / RRUP ] with a p- n value of 0.0024. Exploratory analysis indicated that the model [ 1− R JB / RRUP ] with n equal to 2 and ½ produced poorer fits to the data (larger standard error) than a linear model (n= 1). No significant difference between normal and reverse faulting data was found (p value of 0.63 for adding a normal fault difference in the correlation). The behavior of the residuals with respect to [ 1− RJB / RRUP ] was checked by separately fitting the data on the hanging wall, 60º ≤ θSITE ≤ 120º, and footwall, -60º ≤ θSITE ≤ -120º sides of the rupture, excluding sites directly above the rupture (RJB=0). Figure 18 shows the residuals and linear fits with respect to [ 1− RJB / RRUP ] constrained to go through 0 at [ 1− RJB / RRUP] =0. The solid lines show the mean trend and the dashed lines the 90% confidence interval for the mean. The residuals on the hanging wall and footwall side of the ruptures have essentially identical trends. Previous empirical models (Abrahamson and Silva, 1997; Campbell and Bozorgnia, 2003) have limited the hanging wall effect to faults with dip angles, δ, less than 70º. Assuming the hanging wall effect is a geometric effect, one might expect that it might correlate with δ. Figure 19 shows residuals for sites on the hanging wall of reverse faults (RJB = 0) plotted versus δ. The data indicate increasing motion with decreasing δ. The trend was modeled with linear functions with 90º - δ, cos(δ) and cos 2 (δ). All three functions show a significant trend with the residuals, with cos 2 (δ) providing a slightly better fit than the other two models. Similar results were found including data from sites with [ 1− RJB / RRUP] > 0.8 and for data from sites with RJB < 5 km. C&Y2006 Page 25
Figure 18: Intra-event residuals for dip-slip earthquake for a model without a hanging wall term. The residuals were fit with a linear regression line constrained to pass through 0 at [ 1− RJB / RRUP ] = 0. Solid line shows the mean trend and the dashed lines indicate the 90% confidence interval for the mean. Figure 19: Intra-event residuals from fitting a model without a hanging wall term for sites with RJB = 0 and FHW = 1 plotted against fault dip, δ. Although, the term [ 1− RJB / RRUP ] appears to model well the hanging wall effect, there are two additional aspects it does not capture. Assuming that the hanging wall effect is a C&Y2006 Page 26
- Page 1 and 2: Chiou and Youngs PEER-NGA Empirical
- Page 3 and 4: data are consistent with strong mot
- Page 5 and 6: Figure 1: Magnitude-distance-region
- Page 7 and 8: Figure 2: Empirical ground motion d
- Page 9 and 10: EQID Earthquake M Table 3: Inferred
- Page 11 and 12: Site Average Shear Wave Velocity: A
- Page 13 and 14: Figure 6: Relationship between VS30
- Page 15 and 16: 1 ) ∝ C2 × M + ( C2 − C ) × l
- Page 17 and 18: Figure 9: Peak acceleration data fr
- Page 19 and 20: C4+C5M slowly and the value of the
- Page 21 and 22: allows the interpretation of the co
- Page 23 and 24: Figure 13: Coefficients resulting f
- Page 25: the top of rupture located at x = 0
- Page 29 and 30: Figure 21: Variation of HW* with ma
- Page 31 and 32: The interpretation of the parameter
- Page 33 and 34: to the PEER-NGA pga data selected f
- Page 35 and 36: EFFECT OF DATA TRUNCATION The initi
- Page 37 and 38: term [ 1 Φ( y ( θ ) + τ ⋅ z ,
- Page 39 and 40: Table 4: Estimate of Anelastic Atte
- Page 41 and 42: data truncated at a maximum distanc
- Page 43 and 44: faulting earthquakes at long period
- Page 45 and 46: Slope -1.5 -1.0 -0.5 0.0 0.5 1.0 0.
- Page 47 and 48: C&Y2006 Page 46 Table 5: Coefficien
- Page 49 and 50: c1 of T0.010S c1 of T1.000S MODEL R
- Page 51 and 52: esid 1 0 -1 -2 resid resid 1 0 -1 -
- Page 53 and 54: esid resid resid 1 0 -1 -2 1 0 -1 -
- Page 55 and 56: esid 2 1 0 -1 -2 SCEC Version 2 0 2
- Page 57 and 58: Amplification w.r.t. Vs30 = 1130 m/
- Page 59 and 60: Sa(g) Sa(g) 10 1 0.1 0.01 10 1 0.1
- Page 61 and 62: Sa (g) Sa (g) 1 0.1 0.01 0.001 0.00
- Page 63 and 64: Sa (g) Sa (g) 1 0.1 0.01 0.001 1 0.
- Page 65 and 66: EXAMPLE CALCULATIONS FORTRAN routin
- Page 67 and 68: Table 6: Example Calculations Perio
- Page 69 and 70: REFERENCES Abrahamson, N.A., and Si
- Page 71 and 72: Frankel, A., A. McGarr, J. Bicknell
- Page 73 and 74: Appendix A Recordings from PEER-NGA
- Page 75 and 76: RSN EQID Earthquake M Station No, S
the rupture, although this region is mostly to the hanging wall side of a projection of the<br />
rupture to the surface (i.e. on the hanging wall of the fault, but the foot wall side of the<br />
rupture). It seams reasonable that there should be some increased motion in this area <strong>for</strong> a<br />
buried fault.<br />
1-Rjb/Rcld<br />
1.2<br />
1<br />
0.8<br />
0.6<br />
0.4<br />
0.2<br />
0<br />
-40 -20 0 20 40 60 80 100 120<br />
x (line 1) or y (lines 2 <strong>and</strong> 3)<br />
Line 1 (y=0)<br />
Line 2 (x=3)<br />
Line 3 (x=10)<br />
Figure 17: Variation of the term [ 1−<br />
RJB<br />
/ RRUP<br />
] with location <strong>for</strong> the three lines shown on Figure<br />
15. Top of rupture is at a depth of 5 km at x=0.<br />
The effectiveness of the term [ 1−<br />
RJB<br />
/ RRUP<br />
] to capture the hanging wall effect was tested by<br />
fitting the selected <strong>PEER</strong>-<strong>NGA</strong> data <strong>for</strong> peak acceleration with a regression model without a<br />
hanging wall term. The residuals were found to be correlated with [ 1−<br />
RJB<br />
/ RRUP<br />
] with a p-<br />
n<br />
value of 0.0024. Exploratory analysis indicated that the model [ 1−<br />
R JB / RRUP<br />
] with n equal<br />
to 2 <strong>and</strong> ½ produced poorer fits to the data (larger st<strong>and</strong>ard error) than a linear model (n= 1).<br />
No significant difference between normal <strong>and</strong> reverse faulting data was found (p value of<br />
0.63 <strong>for</strong> adding a normal fault difference in the correlation). The behavior of the residuals<br />
with respect to [ 1−<br />
RJB<br />
/ RRUP<br />
] was checked by separately fitting the data on the hanging<br />
wall, 60º ≤ θSITE ≤ 120º, <strong>and</strong> footwall, -60º ≤ θSITE ≤ -120º sides of the rupture, excluding<br />
sites directly above the rupture (RJB=0). Figure 18 shows the residuals <strong>and</strong> linear fits with<br />
respect to [ 1−<br />
RJB<br />
/ RRUP<br />
] constrained to go through 0 at [ 1−<br />
RJB<br />
/ RRUP]<br />
=0. The solid lines<br />
show the mean trend <strong>and</strong> the dashed lines the 90% confidence interval <strong>for</strong> the mean. The<br />
residuals on the hanging wall <strong>and</strong> footwall side of the ruptures have essentially identical<br />
trends.<br />
Previous empirical models (Abrahamson <strong>and</strong> Silva, 1997; Campbell <strong>and</strong> Bozorgnia, 2003)<br />
have limited the hanging wall effect to faults with dip angles, δ, less than 70º. Assuming the<br />
hanging wall effect is a geometric effect, one might expect that it might correlate with δ.<br />
Figure 19 shows residuals <strong>for</strong> sites on the hanging wall of reverse faults (RJB = 0) plotted<br />
versus δ. The data indicate increasing motion with decreasing δ. The trend was modeled<br />
with linear functions with 90º - δ, cos(δ) <strong>and</strong> cos 2 (δ). All three functions show a significant<br />
trend with the residuals, with cos 2 (δ) providing a slightly better fit than the other two models.<br />
Similar results were found including data from sites with [ 1−<br />
RJB<br />
/ RRUP]<br />
> 0.8 <strong>and</strong> <strong>for</strong> data<br />
from sites with RJB < 5 km.<br />
C&Y2006 Page 25